ReviewRice (New York, N.Y.)2023
Realized Genetic Gain in Rice: Achievements from Breeding Programs.
Review in Rice (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Mathematical modeling with RGB data for comparative analysis of rice lineages and distribution of breaking points.BMC plant biology · 2026Article
- High-Throughput Phenotyping: Status and Applications in Rice Breeding.Plants (Basel, Switzerland) · 2026Review
- Maintenance breeding and breeding for yield potential both contribute to genetic improvement in wheat yield.Nature communications · 2026Article
- UNet-ECA-Bio: a biologically informed deep learning model for high-throughput micro-phenotyping of rice stem vascular bundles.Frontiers in plant science · 2026Article
- Linking genetic gains to food security outcomes: An assessment of IRRI'S rice breeding efforts in the Philippines and Indonesia.Food security · 2026Article
- Accelerated breeding modernization: a global blueprint for driving genetic gains, climate resilience, and food security in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- 110 years of rice breeding at LSU: realized genetic gains and future optimization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Gene Pyramiding Strategies for Sink Size and Source Capacity for High-Yield Japonica Rice Breeding.Rice (New York, N.Y.) · 2025Review
- Genetic progress in rice yield: preliminary insights from historically released varieties in Sub-Saharan Africa.Frontiers in plant science · 2025Article
- Realized genetic gain for yield and yield attributes in groundnut breeding at ICRISAT from an ERA trial.Frontiers in plant science · 2025Article
- A unified global costing framework catalyzes strategic investment in rice breeding.Frontiers in plant science · 2025Article
- The rice Trait Development Pipeline: a systematic framework guiding upstream research for impact in breeding, with examples from root biology.Plant and soil · 2025Review
- Combining ability and gene action for flowering, plant height, grain size, and yield in rice (Frontiers in plant science · 2025Article
- Comprehensive genetic diversity revealed in the pre-breeding RILs (Frontiers in genetics · 2025Article
- Q&A: Methods for estimating genetic gain in sub-Saharan Africa and achieving improved gains.The plant genome · 2024Article
- Genetic progress in cowpea [Vigna unguiculata (L.) Walp.] stemming from breeding modernization efforts at the International Institute of Tropical Agriculture.The plant genome · 2024Article
- Integration of molecular breeding and multi-resistance screening for developing a promising restorer line Guihui5501 with heavy grain, good grain quality, and endurance to biotic and abiotic stresses.Frontiers in plant science · 2024Article
- Stochastic simulation to optimize rice breeding at IRRI.Frontiers in plant science · 2024Article
- Genetic trends in the Zimbabwe's national maize breeding program over two decades.Frontiers in plant science · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Genetic improvement is crucial for ensuring food security globally. Indeed, plant breeding has contributed significantly to increasing the productivity of major crops, including rice, over the last century. Evaluating the efficiency of breeding strategies necessitates a quantification of this progress. One approach involves assessing the genetic gain achieved through breeding programs based on quantitative traits. This study aims to provide a theoretical understanding of genetic gain, summarize the major results of genetic gain studies in rice breeding, and suggest ways of improving breeding program strategies and future studies on genetic gain. To achieve this, we present the concept of genetic gain and the essential aspects of its estimation. We also provide an extensive literature review of genetic gain studies in rice (Oryza sativa L.) breeding programs to understand the advances made to date. We reviewed 29 studies conducted between 1999 and 2023, covering different regions, traits, periods, and estimation methods. The genetic gain for grain yield, in particular, showed significant variation, ranging from 1.5 to 167.6 kg/ha/year, with a mean value of 36.3 kg/ha/year. This translated into a rate of genetic gain for grain yield ranging from 0.1% to over 3.0%. The impact of multi-trait selection on grain yield was clarified by studies that reported genetic gains for other traits, such as plant height, days to flowering, and grain quality. These findings reveal that while breeding programs have achieved significant gains, further improvements are necessary to meet the growing demand for rice. We also highlight the limitations of these studies, which hinder accurate estimations of genetic gain. In conclusion, we offer suggestions for improving the estimation of genetic gain based on quantitative genetic principles and computer simulations to optimize rice breeding strategies.
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